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Reflectance Spectroscopy (NIRS) as an inline method for determining feed structure in pellets, with the aim of achieving faster and more accurate analysis during feed production. In the first year, the focus
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identification, reduce uncertainty, and enable cost-effective risk managementIntegrate advanced coupled modeling with soft computing techniquesUse metamodeling for global sensitivity analysis Apply probabilistic
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of liposomal formulations.•LC-MS-based lipid or metabolomics analysis.•Regular contact with supervisors and other members of the laboratory including presentation of data at lab meetings.•Supervision of bachelor
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deployment in Europe, carried out at the Louvain Institute of Data Analysis and Modeling in Economics and Statistics (LIDAM). The project focuses on the theoretical analysis and design of auction-based support
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at international conferences Desirable SKILLS : Prior experience with genomic data analysis on a high-performance computing cluster Human SKILLS : Enthusiastic, highly motivated and proactive Strong communication
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science » Programming Economics » Applied economics Mathematics » Applied mathematics Mathematics » Combinatorial analysis Technology » Transport technology Researcher Profile First Stage Researcher (R1) Application
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focuses on the theoretical and empirical analysis of the trade-offs between demand-side response and consumer protection, using tools from economics and energy system analysis. The project aims
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focuses on the theoretical analysis of policy interventions addressing energy-related inequality, drawing on public economics and information economics. The analysis may involve calibration and, where
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”. The research work will include: Field measurement and geostatistical analysis of groundwater fluxes; Transient 3D groundwater modelling; Integration of flux measurements in uncertainty quantification
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and Energy Research • Food Research Centre • Lab of Plant Growth Analysis • Center for Biotech Data Science To further develop research activities at the GUGC campus and promote research collaboration